KR101788389B1 - Modeling apparatus and method for gas diffusion - Google Patents
Modeling apparatus and method for gas diffusion Download PDFInfo
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Abstract
The present invention provides a gas diffusion modeling device, wherein a gas diffusion modeling device according to the present invention includes a leak information collecting part for collecting leak information of leaked gas particles, a leak information collecting part for collecting leak information of leaked gas particles, A first modeling unit for modeling a concentration distribution, a second modeling unit for calculating wind field data for a specific area of the leakage space in which gas particles have leaked and modeling a concentration distribution due to diffusion of gas particles in specific areas based on wind field data, And a timing determiner for determining a timing at which the modeling is performed by the modeling unit and the first modeling unit and a timing at which the modeling is performed by the second modeling unit.
Description
The present invention relates to an apparatus and a method for modeling gas diffusion, and more particularly to a gas diffusion modeling apparatus and method for modeling the diffusion state of a leaked gas particle.
When various fires or accidents occur in a gas storage for storing harmful substances such as radioactive materials or a factory using them, various harmful substances are discharged into the atmosphere in a gaseous state.
Conventionally, a gas sensing device has been developed for the purpose of preventing damage to human life by alerting a harmful substance in a gaseous state to the atmosphere when the gas is discharged into the atmosphere.
Specifically, the conventional gas sensing device is divided into a heat sensing device that senses heat when a toxic substance is generated or a smoke sensing device that senses smoke. The sensing device is fixed to a ceiling of a factory or a gas storage, And transmits a hazardous material detection signal to a receiver electrically connected to generate an alarm sound.
However, it is possible to detect only the occurrence of harmful substances through the conventional gas sensing device, and it is impossible to predict the diffusion state of harmful substances such as the concentration of harmful substances.
In recent years, there has been a growing interest in a technique for modeling the diffusion state of harmful substances discharged into the atmosphere, and various methods for modeling the diffusion state by reflecting the information of the harmful substances diffusing into the gaseous state have been developed.
However, the conventional technology for modeling the diffusion state of the harmful substances does not reflect various information that affects the diffusion of harmful substances because it reflects only the information of uniform harmful substances.
Therefore, there is a growing need for faster and more accurate diffusion modeling techniques that reflect various information that can affect the diffusion of toxic substances.
BACKGROUND ART [0002] The technology of the background of the present invention is disclosed in Korean Patent Laid-Open Publication No. 10-2001-0001148 (name of the invention: gas leakage alarm device, published on Jan. 01, 2001).
The present invention has been devised to overcome the above-mentioned problems of the prior art, and it is an object of the present invention to model gas diffusion states more quickly and accurately using a plurality of modeling units that model the diffusion state of gas particles, The purpose.
To achieve the above object, a gas diffusion modeling apparatus according to the present invention includes a leakage information collecting unit for collecting leakage information of leaked gas particles; A first modeling unit for modeling a concentration distribution due to diffusion of the gas particles based on the gas particle leakage information; A second modeling unit for calculating wind field data for each specific region of the leaked leaked gas particles and modeling the concentration distribution due to the diffusion of the gas particles for each of the specific regions based on the wind field data; And a timing determiner for determining a timing at which the modeling is performed by the first modeling unit and a timing at which the modeling is performed by the second modeling unit.
The gas diffusion modeling method according to the present invention includes the steps of collecting leak information of leaked gas particles by a leak information collecting unit, modeling a concentration distribution due to diffusion of the gas particles based on leak information of the gas particles The first modeling step and the second modeling step include a second modeling step of modeling the concentration distribution due to the diffusion of the gas particles on the basis of the wind field data of the specific areas of the leaked gas particles.
According to the present invention as described above, the following effects can be obtained.
According to the present invention, the diffusion state of the gas particles is modeled through the first modeling unit that models the diffusion state of the gas particles at an early stage of the leakage of the gas particles, and the diffusion state of the gas particles is modeled more accurately after the reference time By modeling the diffusion state of the gas particles through the two modeling unit, the speed and accuracy of the modeling is improved as compared with the conventional method using a single modeling method.
BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a schematic view showing a configuration of a gas diffusion modeling apparatus according to the present invention; FIG.
2 is a schematic view showing the configuration of a first modeling unit of the gas diffusion modeling apparatus according to the present invention.
3 is a view showing the diffusion of gas particles modeled through the first modeling unit of the gas diffusion modeling apparatus according to the present invention.
4 is a view schematically showing the configuration of a second modeling unit of the gas diffusion modeling apparatus according to the present invention.
5 is a view showing the diffusion of gas particles modeled through the second modeling unit of the gas diffusion modeling apparatus according to the present invention.
6 is a diagram showing an implementation process of the gas diffusion modeling method according to the present invention.
7 is a diagram specifically illustrating a process of modeling diffusion of gas particles through the first modeling unit in the gas diffusion modeling method according to the present invention.
8 is a diagram specifically illustrating a process of modeling diffusion of gas particles through the second modeling unit in the gas diffusion modeling method according to the present invention.
BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and the manner of achieving them will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims.
The shapes, sizes, ratios, angles, numbers, and the like disclosed in the drawings for describing the embodiments of the present invention are illustrative, and thus the present invention is not limited thereto. Like reference numerals refer to like elements throughout the specification. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. In the case where the word 'includes', 'having', 'done', etc. are used in this specification, other parts can be added unless '~ only' is used. Unless the context clearly dictates otherwise, including the plural unless the context clearly dictates otherwise.
In interpreting the constituent elements, it is construed to include the error range even if there is no separate description.
In the case of a description of the positional relationship, for example, if the positional relationship between two parts is described as 'on', 'on top', 'under', and 'next to' Or " direct " is not used, one or more other portions may be located between the two portions.
In the case of a description of a temporal relationship, for example, if the temporal relationship is described by 'after', 'after', 'after', 'before', etc., May not be continuous unless they are not used.
The first, second, etc. are used to describe various components, but these components are not limited by these terms. These terms are used only to distinguish one component from another. Therefore, the first component mentioned below may be the second component within the technical spirit of the present invention.
It is to be understood that each of the features of the various embodiments of the present invention may be combined or combined with each other, partially or wholly, technically various interlocking and driving, and that the embodiments may be practiced independently of each other, It is possible.
BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a schematic view showing a configuration of a gas diffusion modeling apparatus according to the present invention; FIG.
1, the gas diffusion modeling apparatus according to the present invention includes a leakage
The leak
That is, the leak
The storage information collection unit (30) collects initial storage information of the gas particles leaked from the leak source (1). Specifically, the storage
That is, the initial storage amount refers to the amount of gas particles stored in the
The
Particularly, the
That is, in one embodiment of the present invention, modeling speed and accuracy can be improved by modeling the diffusion state of the gas particles by reflecting more appropriate information that may affect the diffusion of the gas particles depending on the situation.
For this, the
As described above, in the present invention, it is important to determine the timing of modeling through the
That is, since the modeling through the
However, when the gas particles are leaked and diffuse at the initial stage, the behavior of the gas particles is determined by the momentum of the gas particles at the time of leakage and is not greatly influenced by the surrounding situation. Therefore, There is no difference in accuracy between the modeling results of the
Accordingly, the
Specifically, the
In particular, in one embodiment of the present invention, the
Here, S denotes the size of the leakage hole, G denotes the mass flow rate of the gas particles per unit area, m 0 denotes the initial storage amount of the gas particles, C D denotes the leakage coefficient, P 0 H denotes the height from the liquid contained in the source container to the leakage hole, P a means atmospheric pressure, and ρ f means leakage Means the liquid density of the original container.
As described above, the
That is, when the gas particles remaining in the
At this time, even though the diffusion of the gas particles is modeled through the
On the other hand, when the gas particles remaining in the
At this time, the
One embodiment of the present invention further includes an
Specifically, the
Also, the
Therefore, in the present invention, gas particles having a specific initial storage amount and leakage hole size are assumed, and the initial flow rate, flow velocity, and wind speed and direction information at the positions where gas particles leak are variously changed for the gas particles, The diffusion state of the gas particles can be modeled.
Hereinafter, a specific method for modeling the concentration distribution due to the diffusion of the gas particles through the plurality of
2 is a schematic view showing the configuration of a first modeling unit of the gas diffusion modeling apparatus according to the present invention.
3 is a view showing the diffusion of gas particles modeled through the first modeling unit of the gas diffusion modeling apparatus according to the present invention.
In particular, the
2, the
The conservation
The conservation equation for the type of gas particles is shown in Equation 2 below.
In this case, ρ is the density, U is the wind velocity in the wind direction, B is the half width of the cloud, h is the height of the cloud, m is the mass concentration, ρ s is the density of the gas particles, W s is the gas particle , And B s is the half width of the leak source.
The conservation equation for the mass of the gas particle is shown in Equation 3 below.
In this case, ρ a denotes the density of air, V e denotes the inflow speed of the air in the horizontal direction, and W e denotes the inflow speed of the air in the vertical direction, and has a height h, a width B, and a width x The width direction of a specific gas particle cloud means the horizontal direction, and the height direction means the vertical direction.
The conservation equation for the energy of the gas particles is shown in Equation (4) below.
At this point, C p is the specific heat, C pa is the specific heat, T a is the temperature of the air in the air, C ps is specific heat, T s of a gas particle is the temperature of the gas particles, f pc is a variation energy, f t is when heat Flux.
The conservation equation for the momentum in the X axis of the gas particle is shown in Equation (5) below.
α g is the mass concentration coefficient of the gas particle with respect to the molecular weight, g is the gravitational acceleration, U a is the air velocity in the wind direction, and f u is the wind direction friction coefficient.
The conservation equation for the momentum in the Y-axis of the gas particles is shown in Equation (6) below.
V g is the horizontal lateral velocity of the gas particle, and f vg is the coefficient of lateral friction.
The conservation equation for the momentum in the Z axis of the gas particle is shown in Equation (7) below.
f w is the vertical friction coefficient, and Z e is the cloud height parameter.
At this time, the parameters of the gas particle cloud used in the conservation equation are all one-dimensional functions for x. Therefore, both the Y-axis and Z-axis directions, that is, directions perpendicular to the wind direction, are averaged and used, and the average value of the density of gas particles is expressed by Equation (8) below.
As described above, the conservation
The state
The state equation of the gas particle in the leaked space in which the gas particle leaks is expressed by the following equation (9).
At this time, m da is the average mass density of the dry air, M a is the air molecular weight, m wv is the average mass concentration of water vapor, M w is the water molecular, m ev is the average mass density, M s of the discharged gas is discharged of material that is a molecular weight, m wa is the concentration, ρ wl is the water density of the water vapor in the air, m wd is the liquid density of the mass density, ρ sl water is a substance contained in the liquid droplets when the leak in the liquid state, m ed is liquid The mass concentration of the gas particles contained in the liquid droplet at the time of leaking, P a the atmospheric pressure, and R e the gas constant of the ideal gas equation.
The concentration
Specifically, the concentration
As described above, since the parameters of the gas particle cloud used in the conservation equation are all one-dimensional functions related to x, the concentration
At this time, each variable for calculating C (x, y, z) in the equation (11) is calculated by the following equation (12).
In this case, erf () denotes an error function, exp () denotes an exponential function,? Denotes a dispersion coefficient, and B and h satisfy the following Equation 13 Is defined.
As described above, the
3, the
Particularly, the concentration distribution C (x, y, z) due to the diffusion of the gas particles modeled through the
In the above description, the
4 is a view schematically showing the configuration of a second modeling unit of the gas diffusion modeling apparatus according to the present invention.
5 is a view showing the diffusion of gas particles modeled through the second modeling unit of the gas diffusion modeling apparatus according to the present invention.
In particular, the
4, the
The wind field
The wind field
The wind field
The RAMS code is a code developed by the University of Colorado and Mission Research, and the present invention is not limited to this, and it is also possible to interpret the atmospheric phenomenon through various methods other than the RAMS code.
Thus, the wind field
That is, the
The diffusion
In this case, R x , R y , and R z mean Lagrangian turbulence autocorrelations, and x '(t), y' (t), and z '(t) denote turbulent diffusion velocity components of gas particles.
In this case, σ x , σ y , and σ z mean turbulent velocity standard deviation, and T Lx , T Ly , and T Lz represent the Lagrangian time scale.
In this case, η x , η y , η z means regular random numbers, and W d means gravitational settling velocity.
The spatial coordinate
Specifically, it is assumed that the space coordinate
Particularly, in an embodiment of the present invention, since the diffusion of gas particles is modeled through the
Then, the position of each gas particle is generated at a predetermined cycle, and the spatial coordinates of each gas particle are calculated by moving each gas particle based on the diffusion speed of the gas particle calculated through the
The
Specifically, the
In this case, n means the number of particles existing in the unit space, Q means the amount of gas particles leaking from the
As described above, the
That is, as shown in FIG. 5, the
However, since the present invention is not limited to this, the
As described above, the gas diffusion modeling apparatus according to an embodiment of the present invention models the diffusion of gas particles through the
That is, by using only the leakage information of the gas particles through the
Hereinafter, a specific method of modeling diffusion of gas particles through a gas diffusion modeling apparatus according to an embodiment of the present invention will be described.
6 is a diagram showing an implementation process of the gas diffusion modeling method according to the present invention.
7 is a diagram specifically illustrating a process of modeling diffusion of gas particles through the first modeling unit in the gas diffusion modeling method according to the present invention.
8 is a diagram specifically illustrating a process of modeling diffusion of gas particles through the second modeling unit in the gas diffusion modeling method according to the present invention.
As shown in FIG. 6, the leak
Specifically, the leak
Next, the
That is, the
Specifically, the
Referring to FIG. 7, the process of modeling the diffusion of gas particles through the
That is, when the gas particles remaining in the
The
That is, since the gas particles leaking from the
Then, the concentration
The
That is, in one embodiment of the present invention, the
To this end, the storage
Particularly, in one embodiment of the present invention, the
Specifically, the
When the gas particle leakage time reaches the reference time, the
That is, the
Specifically, the
Referring to FIG. 8, the process of modeling the diffusion of the gas particles through the
Specifically, the wind field
Subsequently, the diffusion
As described above, the
Then, the spatial coordinate
Specifically, it is assumed that the space coordinate
The spatial coordinates of each gas particle can be calculated by generating the positions of the respective gas particles at predetermined intervals and moving the respective gas particles based on the diffusion speed of the gas particles calculated through the
The
As described above, in the present invention, the modeling is performed through the
Although the embodiments of the present invention have been described in detail with reference to the accompanying drawings, it is to be understood that the present invention is not limited to those embodiments and various changes and modifications may be made without departing from the scope of the present invention. . Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. Therefore, it should be understood that the above-described embodiments are illustrative in all aspects and not restrictive. The scope of protection of the present invention should be construed according to the claims, and all technical ideas within the scope of equivalents should be interpreted as being included in the scope of the present invention.
10: input unit 20: leak information collecting unit
30: Storage information collecting unit 40: Timing determining unit
100: modeling unit 110: first modeling unit
111: conservation equation operation unit 112: state equation operation unit
113: farmland distribution modeling unit 120: second modeling unit
121 Wind field data operation unit 122: Diffusion speed operation unit
123: Space coordinate operation unit 124: Concentration operation unit
Claims (13)
A first modeling unit for modeling a concentration distribution due to diffusion of the gas particles based on the gas particle leakage information;
A second modeling unit for calculating wind field data for each specific region of the leaked leaked gas particles and modeling the concentration distribution due to the diffusion of the gas particles for each of the specific regions based on the wind field data;
A storage information collection unit for collecting initial storage information of the gas particles; And
And a timing determiner for determining a timing at which the modeling is to be performed by the first modeling unit and a timing at which the modeling is to be performed by the second modeling unit based on the initial storage information of the gas particles,
The timing determination unit
(S means a size of the leak hole and, G refers to the mass flow rate per unit area the gas particles, m 0 denotes the initial storage amount of the gas particles, C D means the leakage coefficients, P 0 is a leakage H denotes the height from the liquid contained in the source container to the leakage hole, P a means the atmospheric pressure, and ρ f means the height of the source container Lt; / RTI >
Wherein the first modeling unit models the concentration distribution according to the diffusion of the gas particles until the reference time, and the second modeling unit calculates the diffusion time of the gas particles after the reference time, Of the gas diffusion modeling device.
Wherein the first modeling unit models a concentration distribution according to diffusion of the gas particles in a three-dimensional space including x, y, and z variables, and the second modeling unit further includes a time variable to calculate the x, y, Wherein the gas diffusion modeling unit models the concentration distribution due to the diffusion of the gas particles in a three-dimensional space including the gas diffusion modeling unit.
Wherein the leakage information collecting unit collects leakage information including initial flow rate of the gas particles, flow velocity, wind velocity and direction information at a position where the gas particles leaked.
Wherein the first modeling unit comprises: a conservation equation computing unit for computing a conservation equation for the gas particles;
A state equation calculation unit for calculating a state equation for the gas particles; And
A concentration distribution modeling unit for modeling a concentration distribution due to the diffusion of the gas particles based on the conservation equation and the state equation,
Wherein the gas diffusion modeling device is a gas diffusion modeling device.
Wherein the second modeling unit comprises: a wind field data operation unit for calculating wind field data for a specific area of the leakage space in which the gas particles leak;
A diffusion rate calculator for calculating a diffusion rate of the gas particles on the basis of the wind field data for each of the specific areas;
A space coordinate calculator for calculating spatial coordinates of the gas particles based on the diffusion velocity for every predetermined period; And
A concentration calculation unit for calculating the concentration of the gas particles in the unit space including the spatial coordinates,
Wherein the gas diffusion modeling device is a gas diffusion modeling device.
The storage information collection unit collecting initial storage information of the gas particles;
A first modeling step of modeling a concentration distribution due to the diffusion of the gas particles based on the leakage information of the gas particles;
A second modeling step of modeling a concentration distribution due to the diffusion of the gas particles based on wind field data of a specific area of the space where the gas particles have leaked; And
Wherein the timing determining unit determines timing at which the modeling is to be performed by the first modeling unit based on the initial storage information of the gas particles and timing at which the modeling is to be performed by the second modeling unit,
In the step of determining the timing at which the modeling is performed, the timing determining unit
(S means a size of the leak hole and, G refers to the mass flow rate per unit area the gas particles, m 0 denotes the initial storage amount of the gas particles, C D means the leakage coefficients, P 0 is a leakage H denotes the height from the liquid contained in the source container to the leakage hole, P a means the atmospheric pressure, and ρ f means the height of the source container Lt; / RTI >
Wherein the reference time is determined as a modeling timing through the first modeling unit up to the reference time and the modeling timing through the second modeling unit is determined after the reference time. Gas diffusion modeling method.
Wherein the first modeling step comprises: computing a conservation equation for the gas particles;
Computing a state equation for the gas particles; And
Modeling the concentration distribution due to the diffusion of the gas particles based on the conservation equation and the state equation
Wherein the gas diffusion modeling method comprises the steps of:
The second modeling step may include calculating wind field data for a specific area of the leakage space where the gas particles leaked;
Computing a diffusion velocity of the gas particles for each specific region based on the wind field data;
A space coordinate calculator for calculating spatial coordinates of the gas particles based on the diffusion velocity for every predetermined period; And
Calculating the concentration of the gas particles in the unit space including the spatial coordinates
Wherein the gas diffusion modeling method comprises the steps of:
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김범수 외 4명, "유해화학물질 누출 사고에 대한 안전관리시스템 개발에 관한 연구", "한국위험물학회지 1(1), 2013.6, 37-41 (5 pages) |
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